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Found 5 papers, 0 papers with code
Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
Advances in artificial intelligence (AI) show great potential in revealing underlying information from phonon microscopy (high-frequency ultrasound) data to identify cancerous cells.
Ultra-miniature dual-wavelength spatial frequency domain imaging for micro-endoscopy
There is a need for a cost-effective, quantitative imaging tool that can be deployed endoscopically to better detect early stage gastrointestinal cancers.
Designing and simulating realistic spatial frequency domain imaging systems using open-source 3D rendering software
However, there are a wide range of imaging geometries that practical SFDI systems must cope with including imaging flat samples ex vivo, imaging inside tubular lumen in vivo such as in an endoscopy, and measuring tumours or polyps of varying shapes, sizes and optical properties.
Markov Cricket: Using Forward and Inverse Reinforcement Learning to Model, Predict And Optimize Batting Performance in One-Day International Cricket
In this paper, we model one-day international cricket games as Markov processes, applying forward and inverse Reinforcement Learning (RL) to develop three novel tools for the game.
HoloGen: An open source toolbox for high-speed hologram generation
HoloGen unites, for the first time, a wide array of existing hologram generation algorithms with state of the art performance while attempting to remain intuitive and easy to use.
